Triple

T32497697
Position Surface form Disambiguated ID Type / Status
Subject South–North Water Transfer Project E830572 entity
Predicate hasComponent P35 FINISHED
Object Eastern Route Project
The Eastern Route Project is a major canal and pumping system in China that diverts water from the Yangtze River northward to supply arid regions and large cities.
 E2009339 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Eastern Route Project | Statement: [South–North Water Transfer Project, hasComponent, Eastern Route Project]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eastern Route Project
Triple: [South–North Water Transfer Project, hasComponent, Eastern Route Project]
Generated description
The Eastern Route Project is a major canal and pumping system in China that diverts water from the Yangtze River northward to supply arid regions and large cities.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f349219cb8819087e120f509629c1b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c4409dc48190a9eac031b88571a1 completed May 3, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a347056b34c8190a3657805487c522e completed June 18, 2026, 10:25 p.m.
NEDg Description generation batch_6a3471350ec08190ae5394b2a8028840 completed June 18, 2026, 10:29 p.m.
NED2 Entity disambiguation (via description) batch_6a3471d84d708190bd56542c6f09ba30 completed June 18, 2026, 10:31 p.m.
Created at: May 1, 2026, 12:59 a.m.